77 results about "Industrial pollution" patented technology

The invention discloses an industrial area atmospheric environment monitoring management system and method, and relates to the technical field of industrial Internet of Things environment monitoring, and the method comprises the steps: triggering polarization imaging to scan a target region based on the time-space information of an abnormal event signal, obtaining the polarization characteristic data of a pollution plume, and generating a spatial distribution characteristic parameter; inputting the sound pressure abnormal indexes and the spatial distribution characteristic parameters into an industrial equipment leakage causal model, calculating a pollution source confidence coefficient, and when the pollution source confidence coefficient reaches a process safety dynamic threshold value, obtaining an industrial equipment traceability result and a leakage level; according to the traceability result of the industrial equipment and the leakage level, a hierarchical control instruction is obtained, meanwhile, the actually measured attenuation rate of the industrial pollutants is calculated, and the dynamic response effect is verified; according to the method, cross-modal fusion modeling is carried out on acoustic abnormal information and pollutant spatial distribution characteristics, so that the technical limitation that pollution source positioning is carried out by depending on a static empirical formula traditionally is broken through.

The invention relates to the technical field of industrial pollution monitoring, in particular to an industrial pollution source tracing method and system based on machine learning, which can accurately and efficiently determine a pollution source in an industrial park and meet high requirements of environmental protection laws and regulations and the public on environmental protection. The method is used in an industrial park, when an industrial pollution monitoring point monitors that pollution indexes exceed the standard and the emission of each factory in the park meets the emission standard for pollution discharge, pollution is subjected to traceability analysis, and a pollution source with the maximum participation degree in the pollution exceeding event is determined. The method comprises the following steps: acquiring pollution monitoring data information monitored by an industrial pollution monitoring point; carrying out standard-exceeding pollutant feature extraction on the pollution monitoring data information to obtain a park pollutant feature portrait; the park pollutant feature portrait comprises the components of the standard-exceeding pollutants in the park and the real-time concentration of each standard-exceeding pollutant; and matching the park pollutant feature portraits in a pre-established factory pollutant discharge database.

The invention provides an atmospheric pollutant traceability analysis method and system. According to the method, a form classification standard is established through particle shape features, and atmospheric particles are divided into naturally raised dust and industrial emission particle swarms. A dual-wavelength laser technology is adopted for natural flying dust, specifically, the first wavelength is matched with the inherent frequency of mineral crystals, amorphous scattering interference is blocked through polarization beam splitting, and a reflection signal sequence is extracted to generate a mineral migration path; and the second wavelength screens heavy metal scattering signals of the industrial particles, and a heavy metal diffusion track is constructed by utilizing spatial intensity gradient. And superposing the two paths and aerosol three-dimensional distribution data to generate a thermal distribution diagram, and when the space density exceeds a threshold value, calculating a migration path deviation value and a trajectory offset, dynamically distributing pollution source contribution weights, and outputting a pollution source analysis result. According to the invention, dynamic and accurate analysis of natural and industrial pollution sources is realized, and the regional pollution traceability and management and control strategy targeting are improved.

The invention relates to an atmospheric environment management and control partition delimiting method and system based on GIS-big data, and the method comprises the steps: obtaining and processing ground monitoring data, satellite remote sensing data and meteorological data of a target region, constructing a pollutant concentration prediction model, and predicting the future pollutant concentration of the target region through the pollutant concentration prediction model; the diffusion and settlement processes of pollutants are simulated through the processed meteorological data and the topographic data of the target area, and a pollutant dynamic distribution diagram is constructed in combination with future pollutant concentration; a thermal inversion layer phenomenon is detected in the pollutant dynamic distribution diagram, and a pollutant accumulation area is marked; and according to the pollutant dynamic distribution map and the pollutant accumulation area, defining the boundary of the atmospheric environment management and control subarea by combining the ecological sensitive area, the industrial pollution source and the densely populated area of the target area. According to the method, time-space fusion of multi-source heterogeneous data can be realized, the pollutant concentration estimation precision is improved, and powerful support is provided for fine monitoring and scientific management and control of atmospheric pollution.

The invention provides a heavy metal pollution inversion method and system based on a hyperspectral imaging technology, and relates to the technical field of environmental monitoring and remote sensing, and the method comprises the following steps: 1, employing a hyperspectral imaging device to collect hyperspectral data of soil in a target area; step 2, preprocessing the acquired hyperspectral data; step 3, carrying out characteristic wave band screening on the spectral data, and extracting key spectral wave bands related to soil heavy metal pollution; step 4, in combination with actually measured soil heavy metal concentration data, establishing a soil heavy metal pollution prediction model by adopting a machine learning algorithm, and optimizing hyper-parameters; and 5, evaluating the performance of the model by using a cross validation method so as to ensure the prediction precision. The method has the characteristics of high efficiency, accuracy and high adaptability, can be widely applied to the fields of agricultural environment monitoring, industrial pollution site evaluation, mining area treatment and the like, and provides an accurate and convenient technical means for soil pollution monitoring.

The invention relates to an industry pollution source emission data auditing and statistical analysis system, and belongs to the technical field of environment monitoring and data analysis. According to the invention, a survey unit screening module uses a screening rule to screen out sample enterprises according to enterprise scale, production process, emission characteristics and policy change data; the data auditing module is used for carrying out abnormal value detection on pollution emission data of a sample enterprise and removing abnormal data by establishing a multi-index data set and combining K-means clustering and a random forest algorithm; the pollutant emission index calculation module simplifies the complex multi-pollutant emission amount into a single numerical value; the region or industry comprehensive index determination module aggregates the enterprise-level indexes into region or industry-level indexes; and the analysis and verification module ensures the rationality of the index by comparing historical data with external data. According to the method, through cooperative work among the modules, the data quality, the dynamic adaptability, the evaluation comprehensiveness, the automation and the high efficiency are remarkably improved.

The invention relates to an industrial pollution discharge equipment operation data analysis method and system, and the method comprises the steps: carrying out the normalization of each index of collected industrial pollution discharge equipment operation data, calculating the distance matrix of each index, obtaining a minimum spanning tree through the distance matrixes, calculating the distance average value in the minimum spanning tree of each index, and obtaining a minimum spanning tree of each index; setting a weight for each index according to the distance average value; calculating the distance between the operation data according to the weight, obtaining the local density and the high-density minimum distance of the operation data according to the truncation distance and the distance, determining the number of nearest neighbors according to the minimum spanning tree of the index, calculating the operation data and the standard deviation of the local density of the nearest neighbors of the number of the nearest neighbors of the operation data, and obtaining the standard deviation of the local density of the nearest neighbors of the operation data. Determining a cluster center by using the local density, the high-density minimum distance and the standard deviation; and clustering the industrial data according to the cluster center, and displaying a clustering result as a data analysis result in a chart form.

The invention discloses a soil heavy metal pollution detection and remediation hardware system based on isotopic tracing, which relates to the technical field of soil and comprises an isotopic tracing module, a heavy metal detection module, a remediation execution module, a real-time monitoring module, an intelligent regulation and control module and a data storage and transmission module, the data storage and transmission module is connected with the isotope tracing module, the heavy metal detection module, the repair execution module, the real-time monitoring module and the intelligent regulation and control module, and transmits data to a remote monitoring center in a wired or wireless communication mode, so that further data analysis and remote control are carried out; through multi-source data fusion and intelligent algorithm optimization, precise positioning, dynamic monitoring and efficient repairing of heavy metal pollution are achieved, the isotope tracing technology can position a pollution source and predict a diffusion path, and the plant and microorganism synergistic repairing efficiency is improved; the system is suitable for industrial pollution sites, farmlands and other scenes, and has remarkable environmental and economic benefits.

The invention discloses a soil background data screening method based on influence range analysis. The method comprises the following steps: S1, acquiring soil content data of a plurality of positions on a to-be-screened land parcel; the soil content data comprises the content of various heavy metals in the soil; s2, determining a pollution source influence range; s3, screening out soil content data in a pollution source influence range from the soil content data to obtain soil background data; performing data statistics on the soil background data to obtain a soil environment background value of the land parcel to be screened; according to the method, the data in the pollution source influence range is screened out from the soil content data, so that the soil environment background value is accurately determined; by delimiting the first buffer area and the second buffer area and combining the average value of the surface soil content and the accumulation coefficient, the method can effectively eliminate the interference of industrial pollution on the background value, ensures that the obtained background value can truly reflect the condition of unpolluted soil, and provides a scientific basis for environmental assessment and management.

The invention relates to the field of industrial wastewater treatment, in particular to industrial polluted wastewater membrane treatment recycling equipment which comprises a water inlet unit, a membrane treatment unit and a water outlet unit. The water inlet unit comprises a water storage tank; the membrane treatment unit comprises a nanofiltration membrane mechanism, a concentrated water treatment mechanism and a fresh water treatment mechanism; a water outlet of the water storage tank is communicated with a water inlet of the nanofiltration membrane mechanism through a pipeline; a concentrated water outlet of the nanofiltration membrane mechanism is communicated with a water inlet of the concentrated water treatment mechanism through a pipeline; compared with other conventional treatment systems, the industrial polluted wastewater membrane treatment and recycling equipment has high advantages in investment and cost, can greatly reduce the operation cost, is wide in application, can be suitable for municipal wastewater, coal chemical wastewater, power plant wastewater and the like, is high in practicability, and can be used in cooperation with PLC control, so that the industrial polluted wastewater can be recycled. Automatic operation can be achieved, and operation, running and maintenance are convenient.

The application discloses a method for mining influence of industrial pollution on cancer based on improved spatial co-location pattern, and comprises the following steps: calculating offset coordinates of a pollution source instance set, Euclidean distance between cancer instances and pollution source instances, and local average concentration and global average concentration of the pollution source; judging whether a spatial adjacent relationship exists between the cancer instances and the pollution source instances according to a pollution source influence radius; generating a star-shaped neighbor set of the cancer instance set and a star-shaped influence instance table; calculating an improved influence rate, a weighted influence rate and an influence degree of a candidate pattern, and judging a relationship between the influence degree of the candidate pattern and an influence degree threshold value, and outputting a frequent pattern if the relationship is satisfied. The method solves problems of traditional spatial co-location pattern mining methods in co-location relationship mining between pollution sources and cancer, such as unreasonable use of only one distance threshold value to determine the adjacent relationship, and requirement of a participation-based frequency measurement mode to not meet a relationship between the pollution source and a cancer risk.

The invention discloses a pollution grade evaluation method for an urban industrial pollution site, and relates to the technical field of pollution detection, and the method comprises the steps: employing an unmanned aerial vehicle-mounted air pollution detection instrument for inspection, collecting air pollution concentration data in real time, separating a background from a hot spot through a grid mean-standard deviation model, and carrying out the weighting to generate an air pollution index, based on the air pollution index, dynamically regulating and controlling the soil sampling density, carrying out secondary gridding point distribution in a field area, measuring soil pollution concentration data, and obtaining the soil pollution index by using the same'background + hot spot 'weighting strategy; fusing the soil pollution index and the air pollution index as a comprehensive pollution index, and comparing a four-level threshold value to immediately judge the site pollution level; according to the method, air-ground multi-dimensional anomalies are taken into consideration, high-risk area encryption sampling and low-risk area economic evaluation are realized, and an accurate, efficient and visual decision basis is provided for urban brown land redevelopment, treatment and resource release.

The present application belongs to the technical field of industrial pollutant emission control and solid waste treatment, and particularly relates to a fly ash in-situ reduction method for waste incineration flue gas purification. A calcium-based composite powder is sprayed into a region with a temperature of 850-950 DEG C in the waste incinerator hearth by a spraying device. In the temperature zone, the active components in the calcium-based composite powder rapidly react with the acid gases such as SO2, HCl and HF in the flue gas to generate a dense slag precursor, which is mainly a stable high-density mineral phase such as CaSO4. The precursor does not rise with the flue gas due to its high density, high melting point and no low-melting-point adhesive layer on the surface, but directly sinks to the grate, and finally is discharged with the slag, thereby reducing the amount of fly ash entering the subsequent flue gas purification system at the incineration source. At the same time, the technology forms a synergistic effect with the post-furnace semi-dry / dry deacidification process: most of the acid gases are removed in the furnace, the consumption of lime in the downstream is greatly reduced, and the generation of secondary fly ash is further reduced.

The application belongs to the field of microorganisms and the field of environmental protection, and provides at least one urea-producing Paenarthrobacter ureafaciens for degrading atrazine, wherein the urea-producing Paenarthrobacter ureafaciens is preserved in the China General Microbiological Culture Collection Center of the Institute of Microbiology, Chinese Academy of Sciences, located at No. 1, Xiliujia, Beijing Chaoyang District, and has the preservation numbers of CGMCC No. 37944 or CGMCC No. 37943, respectively. The application obtains the urea-producing Paenarthrobacter ureafaciens with high efficiency, wide spectrum and strong environmental adaptability through screening, and finally realizes rapid and complete repair of atrazine contaminated soil by matching an optimized microbial agent formula and a preparation process, so as to reduce repair cost, promote the large-scale application of the microbial repair technology in farmland and industrial pollution sites, and solve many technical bottlenecks in the field of atrazine pollution repair.

The invention provides an automobile glass oil film remover, and relates to the technical field of automobile cleansers, the automobile glass oil film remover comprises 20-40% by mass of sodium dodecyl benzene sulfonate as a main surfactant, 10-20% by mass of deionized water, 10-20% by mass of ethylene glycol, 10-20% by mass of acetic acid, 10-20% by mass of hydroxypropyl methyl cellulose ether, 10-20% by mass of propylene glycol and 10-20% by mass of peppermint essential oil. The deionized water serves as a solvent and accounts for 40%-60% of the remover in volume percentage, the ethylene glycol has anti-freezing and lubricating effects and accounts for 10%-20% of the remover in volume percentage, the core component sodium dodecyl benzene sulfonate has strong degreasing capacity and can quickly decompose an oil film on automobile glass, and oil stains generated by automobile tail gas, oil stains generated by the automobile tail gas, oil stains generated by the automobile tail gas and oil stains generated by the automobile tail gas can be quickly removed. The glass cleaning agent can effectively remove both industrial pollutants and oil films attached to the external environment, the cleaning effect is remarkable, and the transparency of glass is obviously improved after the glass cleaning agent is used.

The invention relates to the technical field of crossing of electric power engineering and civil engineering, in particular to a concrete electric pole reinforcing structure and method based on UHPC and an original concrete electric pole. The interface treatment layer comprises an epoxy interface agent coated on the surface of the original concrete electric pole and embedded steel bars embedded into the original concrete electric pole; the UHPC reinforcing layer wraps the original concrete pole and is bonded with the interface processing layer; optionally, additional longitudinal bars and annular stirrups are included, the additional longitudinal bars are evenly arranged along the circumference of the electric pole and extend into the UHPC reinforcing layer, and the annular stirrups surround the additional longitudinal bars and are bound with the additional longitudinal bars. The method is suitable for existing concrete electric poles with cracks, steel bar corrosion, concrete stripping and other diseases in 110-500 kV high-voltage transmission lines and durability enhancement protection of newly-built electric poles, and can be stably applied to severe environments such as coastal corrosion, severe cold freezing and thawing and industrial area pollution.

The invention discloses an alkali-activated slag and fly ash gel-bentonite-soil vertical barrier wall material and a preparation method thereof. The alkali-activated slag and fly ash gel-bentonite-soil vertical barrier wall material mainly comprises a soil material and an alkali activator, wherein the soil body material comprises in-situ soil, slag, fly ash and bentonite; the alkali activator comprises sodium silicate and sodium hydroxide. The alkali-activated slag and fly ash gel-bentonite-soil vertical barrier wall material can be obtained by mixing the soil materials according to a certain proportion, then adding the alkali activator, continuing to stir and mix, and maintaining the soil materials to obtain the alkali-activated slag and fly ash gel-bentonite-soil vertical barrier wall material. Through impermeability and compressive property tests and barrier property experiments, the permeability coefficient and compressive strength of the alkali-activated slag and fly ash gel-bentonite-soil vertical barrier wall material prepared by the preparation method disclosed by the invention can meet related requirements of Technical Specification for Vertical Barrier of Industrial Polluted Site (HG / T 20715-2020); and a very good barrier effect can be achieved on inorganic heavy metals, organic pollutants and inorganic-organic composite pollutants.

The application discloses an industrial area atmospheric environment monitoring management system and method, relates to the technical field of industrial internet of things environment monitoring, and comprises the following steps: triggering polarization imaging to scan a target area based on the space-time information of an abnormal event signal, acquiring polarization characteristic data of a pollution plume, and generating a spatial distribution characteristic parameter; inputting a sound pressure abnormality index and the spatial distribution characteristic parameter into an industrial equipment leakage causal model, calculating a pollution source confidence, and acquiring an industrial equipment traceability result and a leakage level when the pollution source confidence reaches a process safety dynamic threshold; acquiring hierarchical control instructions according to the industrial equipment traceability result and the leakage level, calculating a measured attenuation rate of an industrial pollutant, and verifying a dynamic response effect; and the application breaks through the technical limitation of traditional pollution source positioning depending on static empirical formulas by cross-modal fusion modeling of acoustic abnormal information and pollutant spatial distribution characteristics.

The invention discloses an urban industrial pollution site grading management and control method based on multi-source fusion data, relates to the technical field of pollution site management and control, and solves the technical problems of inaccurate analysis caused by single-dimensional analysis and low management and control efficiency caused by one-step management and control measures. According to the method, the pollution characteristics are described from four dimensions of pollution complexity, extreme concentration, overall strength and space scale by integrating four core indexes of pollutant standard exceeding quantity, maximum standard exceeding multiple, comprehensive standard exceeding multiple and pollution volume, complex scenes of multi-pollutant combined pollution, low-concentration large-range pollution and the like can be covered, the risk level misjudgment rate is reduced, and the risk level accuracy is improved. Quantitative assignment standards of the four indexes are defined, a weight interval is set, subjective experience interference is reduced, large-scale management requirements are met, differential schemes are made for low, medium, high and extremely high risk levels, and compared with existing one-step management and control, the low-risk site treatment cost can be reduced.

The invention relates to the technical field of environmental science, in particular to an industrial pollutant emission reduction potential intelligent evaluation system and method based on data mining, and the system comprises a data collection module, a data fusion module, a model construction module, a process optimization module, a data processing module and a data processing module, the system comprises a model building module, a process optimization module in communication connection with the model building module, an environmental protection optimization module in communication connection with the process optimization module, an emission reduction potential evaluation module in communication connection with the environmental protection optimization module, and a decision support module in communication connection with the emission reduction potential evaluation module and used for receiving an emission reduction potential analysis result; and generating an emission reduction priority sequence based on the emission reduction potential analysis result. Through innovative technologies such as multi-dimensional data fusion, intelligent modeling, multi-objective optimization and intelligent decision support, the accuracy, comprehensiveness and practicability of industrial pollutant emission reduction potential evaluation are comprehensively improved.

The invention relates to a method for repairing zinc and cadmium polluted soil, and belongs to the technical field of soil pollution treatment. The invention provides a zinc-cadmium contaminated soil remediation method which comprises the steps that firstly, contaminated soil and a composite eluting agent aqueous solution are mixed according to the ratio of 1 g: 10-15 mL, the pH is adjusted to 5.0-5.5, the oscillating reaction is conducted for 2-3 h at the speed of 180-200 rpm, and an eluting agent contains 10 g / L of sodium lignin sulfonate and 2 g / L of polyaspartic acid; after leaching, solid-liquid separation is performed to obtain leached soil, a composite passivating agent accounting for 0.5-1.5% of the dry weight of the soil is applied, and the passivating agent is composed of nano ferrous sulfide and phosphoric acid activated charcoal according to the mass ratio of 1: (2-3); and finally, adjusting the moisture content of the soil to 20-30%, maintaining for 15-20 days, and sowing sedum plumbizincicola. The method can efficiently remove zinc and cadmium heavy metals in the soil, enhances the passivation stability, realizes vegetation reconstruction of the polluted soil, and is suitable for remediation of farmlands and industrial polluted sites.

The application provides a toilet gas self-purification device based on a three-electrode coaxial DBD plasma, an intelligent gas sampling separation system with a built-in adsorption column for separating the gas to be treated, a two-way air suction pump outlet connected with an air inlet pipe of the intelligent gas sampling separation system, an air outlet of the intelligent gas sampling separation system connected with a plasma comprehensive treatment system, and an air outlet of the plasma comprehensive treatment system connected with an air inlet of a comprehensive intelligent collection system. The application realizes the conversion of polluted gas and avoids the pollution caused by physical and chemical methods to the environment. The intelligent detection and separation system is used to perform specific detection and identification before the gas enters the plasma system. The solar energy and wind power green and environment-friendly working mode is used to improve the economy of greenhouse gas conversion. The application can be applied to the fields of greenhouse gas emission reduction, renewable energy consumption and chemical synthesis, and can be further popularized to the removal and utilization process of biological biogas and industrial polluted gas.

The application belongs to the technical field of solid waste comprehensive utilization, and particularly relates to a method for converting waste battery diaphragm into high-value carbon material and use. The method for converting waste battery diaphragm into high-value carbon material comprises: (1) mixing waste battery diaphragm and urea, and pyrolyzing to obtain pyrolysis carbon; (2) modifying the pyrolysis carbon by alkali liquor to obtain high-value carbon material; wherein in step (1), the pyrolysis is stage heating pyrolysis, and the stage heating comprises: first heating to 200-300 DEG C, and keeping warm; then heating to 350-400 DEG C, and keeping warm; and then heating to 500-800 DEG C, and keeping warm. In the application, urea can react with the battery diaphragm in the carbonization process to form nitrogen-doped carbon material, and after subsequent treatment, N, O-doped carbon material is formed. This doping not only helps to improve the pore structure of the carbon material, but also increases the surface active sites, thereby significantly enhancing the adsorption capacity of the carbon material to industrial pollutants (such as methylene blue and / or microplastics).

The invention discloses a full-ecological antifouling barrier system for an industrial polluted site. The full-ecological antifouling barrier system comprises a compaction clay layer, an adsorption layer, a rubber clay layer and an ecological planting soil layer which are arranged above the polluted site from bottom to top. The rubber clay layer is composed of rubber and clay. The compacted clay layer is composed of high-liquid-limit clay and a modified additive; the modified additive is prepared from attapulgite clay and diatomite; the adsorption layer is composed of biochar and composted materials; the ecological planting soil layer is composed of miscellaneous fill and composted materials. The full-ecological antifouling barrier system provided by the invention can improve the integrity and risk management and control capability of severe industrial pollution site treatment, effectively inhibit the diffusion of gas pollutants, realize the recycling of industrial pollution land, and reduce the waste of land resources.

This invention discloses a method for treating bisphenol A type epoxy resin wastewater using calcium-based bentonite. The method includes the following steps: centrifuging bentonite powder N times (N=2~3) according to a centrifugation treatment method, collecting the calcium-based bentonite suspension and calcium-based bentonite; mixing the calcium-based bentonite suspension with the bisphenol A type epoxy resin wastewater, adding calcium-based bentonite to obtain a mixed solution; stirring the mixed solution at 50~90 °C, allowing it to stand, and centrifuging to obtain organically modified sodium bentonite with industrial application value and purified wastewater with COD emission levels meeting standards. This method significantly reduces the COD content of bisphenol A type epoxy resin wastewater, meeting the direct COD emission standard in the Chinese national standard GB 31572-2015 "Emission Standard of Pollutants for Synthetic Resin Industry". It requires no chemical modification agents, causes no secondary pollution, has mild reaction conditions, a simple process flow, and low production costs.

The present invention belongs to the field of environmental microbial technology, and specifically discloses two trichloroethylene-assimilating and degrading bacteria, Cytobacillus oceanisediminis SH48 and Lysinibacillus fusiformis SH13, and their applications. The strains of Cytobacillus oceanisediminis SH48 and Lysinibacillus fusiformis SH13 are deposited in the China Center for Type Culture Collection, with the deposit numbers being CCTCC M 2023370 and CCTCC M 2023371 respectively, and the deposit date being March 21, 2023. The growth of these two strains has low requirements for environmental conditions. They can use trichloroethylene as the sole carbon source and energy source for their own growth without adding additional growth substrates, effectively degrade chlorinated hydrocarbon pollutants, release inorganic free chloride ions, and there is no accumulation of toxic intermediate products. The strain or the microbial agent prepared therefrom can be used for the bioremediation of the soil or groundwater in industrial polluted sites contaminated with chlorinated hydrocarbons, and has important application prospects.

The invention relates to the field of industrial pollution prediction, and discloses a method and system for predicting spatial and temporal distribution of pollutants in an industrial accumulation area, and the method comprises the following steps: carrying out the modeling of a pollutant data source in the industrial accumulation area, constructing a pollutant associated data model, and constructing a process-pollutant-environmental medium three-dimensional associated data model; and in combination with Bayesian optimization and Monte Carlo optimization methods, model time sequence prediction and uncertainty quantification are realized, a high-uncertainty pollutant distribution area is output, and finally, the pollutant concentration of the high-uncertainty pollutant distribution area is predicted. According to the method, through innovative multi-modal data fusion, collaborative prediction of heterogeneous graph neural network and physical information embedding and space-time coupled distribution field prediction, a brand new solution is provided for industrial gathering area environment management, and the method has important theoretical significance and practical value.

The invention provides a movable microwave sintering device and a method for preparing light aggregate by utilizing polluted soil, and belongs to the technical field of industrial polluted soil treatment. The movable microwave sintering device provided by the invention comprises an integrated granulation module and an integrated sintering cooling module, the integrated granulation module comprises a drying and screening module, a grinding-mixing module and a granulation module which are horizontally and fixedly connected in sequence; the first discharge port is connected with the second feed port, and the second discharge port is connected with the third feed port; the integrated sintering and cooling module comprises a microwave sintering module and a cooling-tail gas treatment module which are horizontally and fixedly connected; the fourth discharging hole is connected with the fifth feeding hole; and the third discharge port is connected with the fourth feed port. The device provided by the invention is integrated equipment capable of realizing in-situ treatment of the polluted soil, and has the characteristics of high efficiency and low sintering temperature.

The invention discloses an industrial gathering area fusion fingerprint spectrum construction method based on deep learning, and the method comprises the steps: obtaining characteristic pollutants and multi-source geographic data of an industrial gathering area, and constructing a multi-source heterogeneous data set through preprocessing; quantizing pollutant weight through variable importance projection, extracting nonlinear features in combination with deep learning, establishing a pollutant and environment response relationship, and forming a first feature set; utilizing an attention gating mechanism and differentiable architecture to search for optimization feature association, constructing a situation refraction domain to identify a key pollution propagation path, and generating an industrial pollution line as a main path; analyzing refraction energy distribution in the path, identifying an energy transition position, performing local topology segmentation, and extracting potential phase state units reflecting different pollution processes; a transition link is constructed based on a phase state unit, an industrial pollution behavior fingerprint is generated, an industrial gathering area fusion fingerprint spectrum is presented through multi-modal fusion and visualization, and a dynamic and explainable technical support is provided for pollution traceability and management and control.

This invention relates to a method and system for delineating atmospheric environmental control zones based on GIS-big data, comprising: acquiring and processing ground monitoring data, satellite remote sensing data, and meteorological data of a target area; constructing a pollutant concentration prediction model; and predicting future pollutant concentrations in the target area using the pollutant concentration prediction model; simulating the diffusion and deposition processes of pollutants using processed meteorological data and topographic data of the target area, and constructing a dynamic distribution map of pollutants based on future pollutant concentrations; detecting temperature inversion phenomena in the dynamic distribution map of pollutants and marking pollutant accumulation areas; and delineating the boundaries of atmospheric environmental control zones based on the dynamic distribution map of pollutants and pollutant accumulation areas, combined with ecologically sensitive areas, industrial pollution sources, and densely populated areas of the target area. This invention enables the spatiotemporal fusion of multi-source heterogeneous data, improves the accuracy of pollutant concentration estimation, and provides strong support for refined monitoring and scientific management of air pollution.